Argus: Unified Web Intelligence

Argus is a unified enterprise intelligence platform that revolutionizes how organizations collect and interpret web data. Most enterprise tools are siloed: one tool for market research, another for finance, and a third for security. Argus fundamentally changes this paradigm by relying on a single, continuous stream of raw web intelligence that is analyzed simultaneously across three distinct organizational personas. At its core, a swarm of over ten specialized AI agents (such as MarketDataBot, FilingDataBot, and NewsDataBot) continuously scrape the live web using Bright Data. Instead of discarding this data or locking it in a single-use database, Argus stores everything in a persistent knowledge graph powered by Cognee. This shared memory acts as the central nervous system of the platform. From this single source of truth, the data is processed through three specialized lenses: GTM (Go-To-Market) Lens: Extracts competitor moves, hiring signals, buying intent, and account enrichment. Finance Lens: Surfaces alpha signals, supply-chain stress, filing divergences, and earnings intelligence. Security Lens: Monitors vendor risk, regulatory actions, and brand exposure. Because Argus stores data once and analyzes it three ways, it can detect complex correlations that other platforms miss. A single event—like a leadership LinkedIn profile update—might be a hiring signal for GTM, a financial risk indicator, and a vendor stability warning for Security. The built-in CorrelationEngine connects these dots, turning isolated data points into profound, cross-functional enterprise insights. Built with Next.js, the Spectra Agent framework, and the AI/ML API, Argus delivers all of this through a state-of-the-art, real-time command center.